3D Head Pose Estimation Using the Kinect
Head pose estimation plays an essential role for bridging the information gap between humans and computers. Conventional head pose estimation methods are mostly done in images captured by cameras. However accurate and robust pose estimation is often problematic. In this paper we present an algorithm for recovering the six degrees of freedom (DOF) of motion of a head from a sequence of range images taken by the Microsoft Kinect for Xbox 360. The proposed algorithm utilizes a least-squares minimization of the difference between the measured rate of change of depth at a point and the rate predicted by the depth rate constraint equation. We segment the human head from its surroundings and background, and then we estimate the head motion. Our system has the capability to recover the six DOF of the head motion of multiple people in one image. The proposed system is evaluated in our lab and presents superior results.
Farid Abedan Kondori Shahrouz Yousefi Haibo Li Samuel Sonning Sabina Sonning
Department of Applied Physics and Electronics Ume(a) University Ume(a), Sweden
国际会议
南京
英文
1-4
2011-11-09（万方平台首次上网日期，不代表论文的发表时间）